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Big Sleep

Big Sleep is a Python command-line tool for generating images from natural-language prompts with OpenAI’s CLIP and a BigGAN image generator.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Big Sleep — OpenViST project profile in Image & Video AI.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Big Sleep for hands-on prompt-to-image experiments where a command-line or Python workflow and control over saved outputs are useful.

Who it is for

  • People exploring prompt-driven image generation from a terminal.
  • Python users who want to configure image-generation prompts in code.

Documented uses

  • Generate images from a text description.
  • Compare or combine multiple prompt phrases.
  • Save generation progress or retain the highest-scoring image according to the CLIP critic.
  • Experiment with penalized phrases and BigGAN class limits.
Before you choose

Requirements & limits

The repository is public and lists an MIT license. Its documented installation uses `pip install big-sleep`; linked original and simplified Colab notebooks provide notebook-based routes.

  • The repository describes the tool as intended for users with a GPU.
  • The class-conditioned GAN can drift into noise, according to the project documentation.
  • Restricting BigGAN classes may improve stability but reduce expressivity.
  • The larger vision-model option requires enough memory.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Install Big Sleep and generate a prompt image

Install the package and run a text prompt from the command line.

Before you start

  • Python package installer
  • A GPU, as described by the repository

Steps

  1. Install the package with the command below.

    Documented command
    pip install big-sleep

  2. Run dream "a pyramid made of ice" in the terminal.

Expected outcome

The generated image is saved in the directory where the command is invoked.

Guide limitations

  • The repository notes that the class-conditioned GAN can drift into noise.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
16 October 2026
Original website title
lucidrains/big-sleep · Official homepage title · retained in its source language
How we review sourcesSuggest a correction

Related options

Deep Daze — Named in the repository as a related alternative using CLIP with a deep SIREN network instead of BigGAN.

Explore project →